NASA Logo, National Aeronautics and Space Administration

Published Papers


[1]K. Goebel, B. Saha, A. Saxena, J. R. Celaya, and J. Christophersen, “Prognostics in Battery Health Management”, Instrumentation & Measurement Magazine, IEEE , vol.11, no.4, pp.33-40, August 2008.

[2]B. Saha, K. Goebel, S. Poll, and J. Christophersen, “Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework”, IEEE Transactions on Instrumentation and Measurement, vol.58, no.2, pp.291-296, Feb. 2009.

[3]B. Saha, K. Goebel, and J. Christophersen, “Comparison of Prognostic Algorithms for Estimating Remaining Useful Life of Batteries”, accepted for publication in the Transactions of the Institute of Measurement & Control, Special Issue on Intelligent Fault Diagnosis & Prognosis for Engineering Systems.

[4]D. Brown, G. Georgoulas, B. Bole, H. Pei, M. Orchard, L. Tang, B. Saha, A. Saxena, K. Goebel, and G. Vachtsevanos, “Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators”, submitted to IEEE Transactions on Control Systems Technology.


[1]B. Saha and K. Goebel, “Uncertainty Management for Diagnostics and Prognostics of Batteries using Bayesian Techniques”, Aerospace Conference, 2008 IEEE, pp.1-8, Big Sky, MT, March 2008.

[2]K. Goebel, B. Saha, and A. Saxena, “A Comparison of Three Data-Driven Algorithms for Prognostics”, Proc. of the 62nd Meeting of the Society for Machinery Failure Prevention Technology, pp.119-131, April 2008.

[3]A. Saxena, J. Celaya, E. Balaban, K. Goebel, B. Saha, S Saha, and M. Schwabacher, “Metrics for Evaluating Performance of Prognostic Techniques”, Intl. Conf. on Prognostics and Health Management, Denver, CO, October 2008.

[4]S. Saha, B. Saha, and K. Goebel, “Distributed Prognostics Using Wireless Embedded Devices”, Intl. Conf. on Prognostics and Health Management, Denver, CO, October 2008.

[5]M. E. Orchard, G. Kacprzynski, K. Goebel, B. Saha, and G. Vachtsevanos, “Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics”, Intl. Conf. on Prognostics and Health Management, Denver, CO, October 2008.

[6]L. Tang, G. J. Kacprzynski, K. Goebel, A. Saxena, B. Saha, and G. Vachtsevanos, “Prognostics-enhanced Automated Contingency Management for advanced autonomous systems”, Intl. Conf. on Prognostics and Health Management, Denver, CO, October 2008.

[7]B. Saha, J. Celaya, K. Goebel, and P. Wysocki, “Towards Prognostics for Electronics Components”, Aerospace Conference, 2009 IEEE, Big Sky, MT, March 2008.

[8]A. Saxena, J. Celaya, B. Saha, S. Saha, and K. Goebel, “Evaluating Algorithm Performance Metrics Tailored for Prognostics”, Aerospace Conference, 2009 IEEE, Big Sky, MT, March 2008.

[9]S. Saha, B. Saha, and K. Goebel, “Communication Optimizations for a Wireless Distributed Prognostic Framework”, Aerospace Conference, 2009 IEEE, Big Sky, MT, March 2008.

[10]B. Saha and K. Goebel, "Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework", Annual Conference of the Prognostics and Health Management Society, San Diego, CA, October 2009.

Other Relevant References

[1] Arulampalam, S.; Maskell, S.; Gordon, N. J.; Clapp, T.; "A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking", IEEE Trans. on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.

[2] Bhangu, B. S.; Bentley, P.; Stone, D. A.; Bingham, C. M.; "Nonlinear Observers for Predicting State-of-Charge and State-of-Health of Lead-Acid Batteries for Hybrid-Electric Vehicles", IEEE Trans. on Vehicular Technology, vol. 54, no. 3, pp. 783-794, May 2005.

[3] Blanke, H.; Bohlen, O.; Buller S.; De Doncker, R. W.; Fricke, B; Hammouche, A; Linzen, D; Thele, M; Sauer, D. U.; "Impedance measurements on lead-acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles", Journal of Power Sources, vol. 144, no. 2, pp. 418-425, 2005.

[4] Boser, B. E.; Guyon, I. M.; Vapnik, V. N.; "A training algorithm for optimal margin classifiers", in Haussler, D., editor, 5th Annual ACM Workshop on COLT, pp. 144-152, ACM Press, Pittsburgh, PA, 1992.

[5] Cox, D.C.; Perez-Kite, R.; " Battery state of health monitoring, combining conductance technology with other measurement parameters for real-time battery performance analysis", Twenty-second International Telecommunications Energy Conference, 2000, INTELEC, pp. 342 - 347, Sep. 2000.

[6] Drucker, H.; Burges, C. J. C.; Kaufman, L.; Smola, A. J.; Vapnik, V.; "Support Vector Regression Machines" In Mozer, M.; Jordan, M.; Petsche, T., editors, Advances in Neural Information Processing Systems, vol. 9, pp. 155-161, Cambridge, MA, MIT Press, 1997.

[7] Gao, L.; Liu, S; A. Dougal, R. A.; "Dynamic Lithium-Ion Battery Model for System Simulation", IEEE Trans. on Components and Packaging Technologies, vol. 25, no. 3, pp. 495-505, Sep. 2002.

[8] Gordon, N. J.; Salmond, D. J.; Smith, A.F.M.; "Novel approach to nonlinear/non-Gaussian Bayesian state estimation", Radar and Signal Processing, IEE Proceedings F, vol. 140, no. 2, pp. 107-113, April 1993.

[9] Jaworski, R.K.; "Statistical parameters model for predicting time to failure of telecommunications batteries", The 21st International Telecommunications Energy Conference, 1999. INTELEC '99, June 1999.

[10] Jazwinski, A. H.; Stochastic processes and filtering theory, Academic Press, New York, 1970.

[11] Kozlowski, J.D.; "Electrochemical cell prognostics using online impedance measurements and model-based data fusion techniques", in Proc. IEEE Aerospace Conference, 2003, vol. 7, pp. 3257-3270, March 2003.

[12] Meissner, E.; Richter, G.; "Battery Monitoring and Electrical Energy Management - Precondition for future vehicle electric power systems", Journal of Power Sources, vol. 116, no. 1, pp. 79-98(20), July 2003.

[13] Tipping, M. E.; "The relevance vector machine", in Advances in Neural Information Processing Systems, vol. 12, pp. 652-658, Cambridge MIT Press, 2000.

[14] Vapnik, V. N.; The nature of statistical learning, Springer, Berlin, 1995.

[15] Vutetakis, D.G.; Viswanathan, V.V.; "Determining the State-of-Health of Maintenance-Free Aircraft Batteries", in Proc. of the Tenth Annual Battery Conference on Applications and Advances, 1995, pp 13-18, Jan. 1995.

First Gov logo
NASA Logo -